Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346252
Type: Artigo
Title: Face liveness detection using dynamic texture
Author: Pereira, Tiago de Freitas
Komulainen, Jukka
Anjos, André
De Martino, José Mario
Hadid, Abdenour
Pietikäinen, Matti
Marcel, Sébastien
Abstract: User authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using cheap low-tech equipment. This paper introduces a novel and appealing approach to detect face spoofing using the spatiotemporal (dynamic texture) extensions of the highly popular local binary pattern operator. The key idea of the approach is to learn and detect the structure and the dynamics of the facial micro-textures that characterise real faces but not fake ones. We evaluated the approach with two publicly available databases (Replay-Attack Database and CASIA Face Anti-Spoofing Database). The results show that our approach performs better than state-of-the-art techniques following the provided evaluation protocols of each database
Subject: Reconhecimento facial (Computação)
Country: Alemanha
Editor: Springer
Rights: Aberto
Identifier DOI: 10.1186/1687-5281-2014-2
Address: https://jivp-eurasipjournals.springeropen.com/articles/10.1186/1687-5281-2014-2
Date Issue: 2014
Appears in Collections:FEEC - Artigos e Outros Documentos

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